Sosyal Ağ Bağlantılarının Bireysel Performans Üzerindeki Etkisi: Akademisyenler Üzerine Bir Çalışma

H. Sözen, Pınar Fayganoğlu
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Abstract

Many behaviors of human being, who is a social being, in the organization are affected by the social network connections. The aim of this study is to reveal whether the social network connections of the actor in the organization have an effect on individual performance, which can be considered as the antecedent of many behavioral variables in the management and organization research literature. The absence of a holistic study in the literature that deals with positive and negative social network connections together constitutes the originality of the study, and it is considered that both the methodology and the theoretical infrastructure of the study will contribute to the literature. The social network of the study consists of 37 academicians working in a faculty affiliated to the university operating in Ankara Province. Within the scope of the study, first the network mechanism of the actors was revealed with the UCINET program, then the individual performance scores of the actors, which were measured regularly within the framework of the criteria determined by the university, and the network analysis obtained. Correlation and regression analyzes were performed to reveal the relationship between the findings through the SPSS program. As a result of the analyzes, quite remarkable results were obtained. Accordingly, it was determined that the performance scores of the central actor with positive social network connections, in other words, the most liked actor in the network, were low; it was determined that the actor with the most negative social network connections was the actor with the highest individual performance score.
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人作为一种社会存在物,在组织中的许多行为都受到社会网络连接的影响。本研究的目的是揭示行为人在组织中的社会网络连接是否对个人绩效有影响,这可以被认为是管理和组织研究文献中许多行为变量的前提。文献中缺乏对积极和消极社会网络联系的整体研究,这构成了研究的原创性,研究的方法和理论基础都被认为将有助于文献。该研究的社交网络由37名在安卡拉省运营的大学附属学院工作的院士组成。在研究范围内,首先使用UCINET程序揭示演员的网络机制,然后在大学确定的标准框架内定期测量演员的个人表现分数,并获得网络分析。通过SPSS程序进行相关分析和回归分析,以揭示研究结果之间的关系。分析的结果,取得了相当显著的结果。因此,我们确定具有积极社会网络连接的核心演员,即网络中最受欢迎的演员,其表演得分较低;结果表明,拥有最多负面社交网络连接的演员,其个人表现得分最高。
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